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Table 2 Global performance (AUC for iFragMent and k-NN) for specific pathways within general KEGG pathway classes

From: Predicting biological pathways of chemical compounds with a profile-inspired approach

Pathway Class iFragMent
AUC
k-NN
AUC
Num. pathways
Drug Development 1.00 0.45 1
Genetic Information Processing 0.94 0.55 2
Metabolism 0.91 0.51 153
Human Diseases 0.82 0.52 10
Environmental Information Processing 0.74 0.52 12
Organismal Systems 0.70 0.50 32
Cellular Processes 0.69 0.47 4